Senior Machine Learning Engineer

Reposted 6 Days Ago
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London, Greater London, England, GBR
In-Office
Senior level
Gaming • Mobile • Software
The Role
Design, prototype, and implement machine learning models for game personalization. Convert prototypes into production-quality code, deploy via MLOps practices, and run A/B tests. Monitor player data, iterate models to improve retention and revenue, and document/share results across product and studio teams.
Summary Generated by Built In
Who are we?

Tripledot Studios is one of the largest independent mobile games companies in the world.

We are a multi-award-winning organisation, with a global 2,500+ strong team across 12 studios.

Our expanded portfolio includes some of the biggest titles in mobile gaming, collectively reaching top chart positions around the world and engaging over 25 million daily active users.

Tripledot’s guiding principle is that when people love what they do, what they do will be loved by others.

We’re building a company we’re proud of. One filled with driven, incredibly smart and detail-orientated people, who LOVE making games.

Our ambition is to be the most successful games company in the world, and we’re just getting started.

The role is working within our AI group

The group AI team is a central function that works both with other central groups like marketing and game solutions and the game studios which are part of  Tripledot. Within the group AI team, you’ll be working with other AI/ ML Eng, Data engineers, analysts and product owners. 

Role Overview

Within the various studios and other central teams, you will interact with data, engineering, and product teams. The role will be directly contributing to main games KPIs such as retention, revenue, player experience, as well as to company efficiency and time to market in developing games and features.  Progression opportunities will be within the AI group or to studios in the group. 

Key Responsibilities

  • Implement cutting-edge ML algorithms for personalization in gaming, staying abreast of the latest advancements in the field, and testing to see what works best for our games and data.
  • Designing experiments and prototypes to test the viability and efficiency of new AI models.
  • Translate research findings into real-world applications by creating algorithm prototypes in our codebase.
  • Convert prototypes into production level code that can be easily managed and deployed through the ML Lifecycle.
  • Design, develop, and evaluate A/B tests to measure the effectiveness of personalisation algorithms and optimise player experience.
  • Continuously monitor and analyse player data to identify new opportunities for personalisation and improve existing algorithms.
  • Document your work clearly and concisely, fostering knowledge sharing within the team.

What we’re looking for

  • A Bachelor's degree or higher in a quantitative field (e.g., computer science, mathematics, statistics), another quantitative applied field or equivalent experience.
  • Strong understanding of industry standard ML techniques (from classification to reinforcement learning and generative methods)
  • Experience in applying machine learning algorithms to solve real-world problems.
  • Experience with software development concepts like CI/CD, Version Control, Containers (Docker & Kubernetes) and proven track record of deploying ML models to production and established MLOps concepts.
  • A good command of analytical programming and visualisation languages and libraries (SQL, python, matplotlib, etc.) as well as some of the supporting tools and platforms (e.g. git, MLFlow, Kubernetes, Kubeflow, Trino, AirFlow).
  • A strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions).
  • Excellent communication and collaboration skills to effectively bridge the gap between technical and non-technical teams.
  • Experience with using generative AI copilots or agents in daily development work.
  • A passion for mobile gaming and a strong desire to create engaging player experiences and drive business results.

Bonus points if you also have:

  • Experience with more complex ML techniques (e.g. Reinforcement Learning).
  • Experience with A/B testing methodologies in an online gaming context.
  • Experience working in the games industry.

Working at Tripledot

  • 25 days holiday: Enjoy 25 days of paid holiday, in addition to bank holidays to relax and refresh throughout the year.

  • Hybrid Working

  • 20 days fully remote working: Work from anywhere in the world, 20 days of the year.

  • Regular company events and rewards: Join in regular events and rewards that celebrate cultural events, our achievements and our team spirit. Recent highlights have been: Thames River Cruise, London Dungeon and Summer Parties in Regents Park.

  • Continuous Professional Development: Propel your career with continuous opportunities for professional development. 

  • Private Medical Cover: Have peace of mind with private medical cover, ensuring your health is in good hands.

  • Life Assurance  & Critical Illness Cover: Financial protection  for you and your loved ones.

  • Health Cash Plan: Benefit from a health cash plan that contributes to your medical expenses.

  • Dental Cover: Flash your best smile with our dental cover.

  • Family Forming Support: Receive vital support on your family forming/ fertility journey with our support program [subject to policy]

  • Employee Assistance Program: Anytime you need it, tap into confidential, caring support with our Employee Assistance Program, always here to lend an ear and a helping hand.

  • Cycle to Work Scheme: Make the most of our Cycle to Work Scheme for a green and healthy commute.

  • Pension Plan: Secure your future with our contributory pension plan.

Skills Required

  • Bachelor's degree or higher in a quantitative field or equivalent experience
  • Strong understanding of industry-standard ML techniques (classification, reinforcement learning, generative methods)
  • Experience applying machine learning algorithms to real-world problems
  • Experience with CI/CD, version control, containers (Docker & Kubernetes), deploying ML models to production, and MLOps concepts
  • Proficiency with analytical programming and visualization (SQL, Python, Matplotlib) and supporting tools (Git, MLflow, Kubernetes, Kubeflow, Trino, Airflow)
  • Strong understanding of statistical concepts (hypothesis testing, sampling, probability distributions)
  • Excellent communication and collaboration skills
  • Experience using generative AI copilots or agents in daily development
  • Passion for mobile gaming and desire to improve player experience and business results
  • Experience with complex ML techniques (e.g., Reinforcement Learning)
  • Experience with A/B testing methodologies in an online gaming context
  • Experience working in the games industry
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The Company
HQ: London
405 Employees
Year Founded: 2017

What We Do

Recently named "The fastest growing company in Europe" by the Financial Times, Tripledot is one of the largest mobile gaming companies in the world, entertaining over hundreds of millions of people around the world. Forged by seasoned industry veterans from King, Facebook and Product Madness, our goal is to create the highest quality games for everyone to enjoy. With the belief that amazing games are created by amazing teams, Tripledot brings the best-of-the-best together. Currently our team consists of 500 people in offices in London, Warsaw, Barcelona and Jakarta.

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